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AI & Advanced Analytics Specialist .
Key Responsibilities:
• Collaborate with business stakeholders to translate strategic objectives into data-driven solutions and advanced analytics use cases.
• Design and develop predictive models including forecasting, classification, regression, and customer segmentation.
• Apply machine learning and optimization techniques to generate actionable business recommendations.
• Utilize Natural Language Processing (NLP) techniques for sentiment analysis, text classification, and information extraction from unstructured data.
• Conduct exploratory data analysis to identify trends, anomalies, and opportunities for business improvement.
• Leverage Generative AI capabilities for intelligent automation, content summarization, code generation, and insight extraction.
• Develop and deploy analytical solutions using modern cloud-based platforms and AI services.
• Build interactive dashboards and visualizations that effectively communicate insights to both technical and non-technical stakeholders.
• Monitor, validate, and continuously improve analytical models to ensure performance and reliability.
• Maintain proper documentation, methodology standards, and reproducible analytics workflows.
Requirements:
• Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• 3–4 years of experience in Data Science, Advanced Analytics, Machine Learning, or Artificial Intelligence.
• Strong proficiency in Python.
• Hands-on experience with Power BI.
• Experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Google Cloud Storage.
• Practical experience in Machine Learning, Predictive Analytics, and NLP.
• Exposure to Generative AI technologies and Large Language Models (LLMs) is highly preferred.
• Strong analytical, problem-solving, and stakeholder management skills.
Preferred Language Level:
• Professional working proficiency in English (written and verbal).